welsonlee's repositories
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
datascience
Curated list of Python resources for data science.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
koalas
Koalas: pandas API on Apache Spark
liwusen
Config files for my GitHub profile.
optuna
A hyperparameter optimization framework
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Recommender-System
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Retail_analysis
汽车流通行业分析
sk-dist
Distributed scikit-learn meta-estimators in PySpark
sklearn-pandas
Pandas integration with sklearn
TensorFlow_Practice
推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
Virgilio
Your new Mentor for Data Science E-Learning.